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---
datasets: open-r1/openr1-220k-math
library_name: transformers
model_name: OpenR1-Qwen-7B
tags:
- generated_from_trainer
- trl
- sft
- mlx
licence: license
license: apache-2.0
base_model: open-r1/OpenR1-Qwen-7B
---
# mlx-community/OpenR1-Qwen-7B-4bit
The Model [mlx-community/OpenR1-Qwen-7B-4bit](https://huggingface.co/mlx-community/OpenR1-Qwen-7B-4bit) was
converted to MLX format from [open-r1/OpenR1-Qwen-7B](https://huggingface.co/open-r1/OpenR1-Qwen-7B)
using mlx-lm version **0.21.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/OpenR1-Qwen-7B-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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